AIroraSense builds AI systems that augment utility and contractor workflows—making field work more verifiable, consistent, and defensible at scale. Our first product, AIS|Grid, applies this approach to post-work QA/QC inspections across electric utility distribution systems.
QA/QC expectations continue to rise while inspection coverage remains limited. As capital programs expand, utilities and contractors need scalable, evidence-backed verification—without slowing field execution.
Utilities already fund QA/QC and inspection activity. The opportunity is enabling that effort to scale through automation and evidence-first outputs—supporting stronger visibility, defensibility, and consistent documentation.
AIS|Grid analyzes field imagery, references applicable construction standards, and produces structured inspection outputs with evidence-linked findings and inspector-ready summaries—supporting faster QA/QC review at scale.
AIS|Capture is a planned back-office workflow that reconciles job cards, prints, and redlined prints with field evidence to support consistent billing validation and improved visibility into spend.
Exploratory concept — not yet in development.
Utility feedback is shared publicly on the About page under What we're hearing
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